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3D Agro-ecological Land Use Planning Using Surfer Tool for Sustainable Land Management in Sumani Watershed, West Sumatra Indonesia Aflizar, .; Idowu, Alarima Cornelius; Afrizal, Roni; Jamaluddin, .; Husnain, .; Masunaga, Tsugiyuki; Syafri, Edi; Muzakir, .
JOURNAL OF TROPICAL SOILS Vol 18, No 3: September 2013
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2013.v18i3.241-254

Estimation of soil erosion 3D (E3D) provides basic information that can help manage agricultural areas sustainably, which has not been sufficiently conducted in Indonesia. Sumani watershed is main rice production area in West Sumatra which has experienced environmental problem such as soil erosion and production problem in recent years. 3D Agro-ecological land use planning based on soil erosion 3D hazard and economic feasibility analyses consist of production cost and prize data for each crop. Using a kriging method in Surfer tool program, have been developed data base from topographic map, Landsat TM image, climatic data and soil psychochemical properties. Using these data, the Universal Soil Loss Equation was used for spatial map of soil erosion 3D and proposed a 3D agro-ecological land use planning for sustainable land management in Sumani watershed. A 3D Agro-ecological land use planning was planned under which the land use type would not cause more than tolerable soil erosion (TER) and would be economically feasible. The study revealed that the annual average soil erosion from Sumani watershed was approximately 76.70 Mg ha-1yr-1 in 2011 where more than 100 Mg ha-1yr-1 was found on the cultivated sloping lands at agricultural field, which constitutes large portion of soil erosion in the watershed. Modification of land use with high CP values to one with lower CP values such as erosion control practices by reforestation, combination of mixed garden+beef+chicken (MBC), terrace (TBC) or contour cropping+beef+chicken (CBC) and sawah+buffalo+chicken (SBC) could reduce soil erosion rate by 83.2%, from 76.70 to 12.9 Mg ha-1 yr-1, with an increase in total profit from agricultural production of about 9.2% in whole Sumani watershed.Key words: CP-values, Erosion 3D, land use, Surfer Tool, USLE [How to Cite: Aflizar, AC Idowu, R Afrizal, Jamaluddin, E Syafri, Muzakir, Husnain and T Masunaga. 2013. 3D Agro-ecological Land Use Planning Using Surfer Tool for Sustainable Land Management in Sumani Watershed, West Sumatra Indonesia. J Trop Soils 18 (3): 241-254. Doi: 10.5400/jts.2013.18.3.241][Permalink/DOI: www.dx.doi.org/10.5400/jts.2013.18.3.241]REEFERENCESAflizar, A Roni and T Masunaga. 2013. Assessment Erosion 3D hazard with USLE and Surfer Tool: A Case study of Sumani Watershed in West Sumatra Indonesia. J Trop Soil 18: 81-92 doi: 10.5400/jts.2012.18.1.81Aflizar, A Saidi, Husnain, Hermansah, Darmawan, Harmailis, H Soumura, T Wakatsuki and T Masunaga.Â 2010. Characterization of Soil Erosion Status in an Agricultural Watershed in West Sumatra, Indonesia. Tropics 19: 28-42.Agrell PJ, A Stam and GW Fischer. 2004. Interactive multiobjective agro-ecological land use planning: The Bungoma region in Kenya. Eur J Operat Res 158: 194-217Agus F, DK Cassel and DP Garrity. 1997. Soil-water and soil physical properties under countour hedgerow systems on sloping oxisols. Soil Till Res 40: 185-199.Blake GR and R Hartage. 1986. Bulk Density. In: A Klute (ed). Methods ofÂ Soil Analysis, Part 1. Physical and Minerological Methods.Â Â American Society of Agronomy and Soil Science Society of America, Madison, Wisconsin, p. 364-367. Brady NC and RR Weil. 2008. The Nature and Properties of Soils. Fourteenth edition reviced. Pearason International edition. Pearson education Japan. p. 121-171.Chris SR and H Harbor.Â 2002. Soil erosion assessment tools from point to regional scales-the role of geomorphologists in land management research and implication. Geomorphology 47: 189-209.Choudhury C, PM Chauhan, P Garg and HN Garg. 1996. Cost-Benefot ratio of triple pass solar air heates. Energy ConversÂ ManageÂ 37: 95-116. Crasswell ET, A Sajjapongse, DJB Hawlett and AJ Dowling. 1997.Â Agroforestry in the management of sloping lands in Asia and the Pacific. Agrofores Sys 38: 121-130.FAO [Food and Agriculture Organization]. 1993. Guidelines for Land Use Planning. FAO Development Series 1, FAO, Rome.FAO/IIASA [Food and Agriculture Organization/International Institute for Applied Systems Analysis]. 1991. Agro-Ecological Land Resources Assessment for Agricultural Development Planning; A Case Study of Kenya: Resource Database and Land Productivity. Main Report and 8 Technical Annexes. Rome, AGL-FAO. 9 vols. 1150 p. Gee GW and JW Bauder. 1986. Particle size analysis. In: A Klute (ed). Methods of soil Analysis, Part 1. Physical and mineralogical Methods, American Society of Agronomy and Soil Science Society of America, Madison, Wisconsin, pp. 399-404.Golden software. 2010. SurferÂ® 9 for windows. Golden, Colorado. Available online http://www.goldensoftware.com/products/surfer/surfer.shtml.Hammer WI. 1981. Second soil conservation consultant report AGOF/INS/78/006. Tech. Note No 10, Centre of Soil Research, Bogor.Irvem A, F Topaglu and V Uygur. 2007. Estimating spatial distribution of soil loss over Seyhan River Basin in Turkey. J Hydrol 336: 30-37.IITA [International Institute of TropicalÂ Agriculture]. 1979. Selected Methods for Soils and Plant Analysis, Manual Series No. 1, IITA, Ibadan, Nigeria, pp. 70.Iwata T, S Nakano and M Inoue. 2003. Impact of past riparian deforestation on stream communities in a tropical rain forest in Borneo. Ecol Appl 13: 461-473.Karyono. 1990. Home garden in Java: their structure and function. In: Lan-dauer K, M Brazil (eds). Tropical Home Garden, The United Nations University Press, Tokyo, pp. 138-146.Kravchenko A and DG Bullock. 1999. A comparative study of interpolation method for mapping soil properties. Agron J 91: 393-400.Kusumandari A and BR Mitchell. 1997. Soil erosion and sediment yield in forest and agroforestry areas in West Java, Indonesia. J Soil Water Cons 52: 376-380.Lee BD, RC Graham, TE Lauren, C Amrhen and RM Creasy. 2001: Spatial Distribution of Soil Chemical condition in a serpentinitic Wetland and Surrounding Landscape. Soil Sci Soc Am J 65: 1183-1196.Margareth and Arens. 1989. World Bank Environmental Department Working paper No.18. The World Bank, Washington, DC.Paranginangin N, R Sakthivadivel, NR Scoot, E Kendy and TS Steenhuis. 2004. Water accounting for conjunctive groundwater/surface water management: case of the Singkarak-Ombilin River basin, Indonesia. J Hydrol 292: 1-22.Reeve RC. 1965. Particle-size Analysis. In: CA Black, DD Evans, JL White, Ensminger and FE Clark (eds). Methods of Soil Analysis Part 1. Physical and Mineralogical Methods, American Society of Agronomy, Madison, Wisconsin, pp. 528-530. Sarainsong F, K Harashima, H Arifin, K Gandasasmita and K Sakamoto. 2007. Practical application of a land resources information system for agricultural landscape planning. Landscpe Urban Plan 79:Â 38-52.Schob A, J Schmidt and R Tenholtern. 2006. Derivation of site-related measures to minimize soil erosion on the watershed scale in the Saxonian loess belt using the model erosion 3D. Catena 68: 153-160.Shi ZH, CF Cai, SW Ding, TW Wang and TL Chow. 2004. Soil conservation planning at the small watershed level using RUSLE with GIS: a case study in the Three Gorge Area of China. CatenaÂ 55: 33-48.Soil Survey Staff. 1990. Keys to Soil Taxonomy. Washington, DC: USDA Natural Resources Conservation Service. Available online ftp://ftp-fc.sc.egov.usda.gov/NSSC/Soil_Taxonomy/keys/1990_Keys_to_Soil_Taxonomy.pdf.Stevenson M and H Lee. 2001. Indicator of sustainability as a tool in agricultural development: portioning scientific and participatory processes. Int J Sustain Dev World Ecol 8: 57-56.Svoray T, P Bar and T Bannet. 2005. Urban land-use allocation in a Mediterranean ecotone: Habitat heterogeneity Model incorporated in a GIS using a multi-criteria mechanism. Landscape Urban Plan 72: 337-351.Takata Y, S Funukawa, J Yanai, A Mishima, K Akshalov, N Ishida and T Kosaki. 2008. Influence of crop rotation system on the spatial and temporal variation of the soil organic carbon budget in northern Kazakhstan. Soil Sci Plant Nutr, 54: 159-171.Wakatsuki T, Y Shinmura, E Otoo and GO Olaniyan. 1998. African-based paddy field system for the integrated watershed management of the small inland valley of West Africa. FAO Water Report no. 17. pp. 5-79.Wischmeier WH and DD Smith. 1978. Predicting rainfall erosion losses: a guide to conservation farming, USDA Handbook: No. 537 US Department of Agriculture, Washington, DC pp 1-58.World Bank. 1989. World Bank Technical Paper Number 127. In: Doolette JB and WB Magrath (eds). Watershed Development in Asia. Strategies and Technologies Available online: http://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/1999/09/17/000178830_98101904135527/Rendered/INDEX/multi_page.txt.Zhang Y, H Yang, M Du, X Tang, H Zhang and B Peng. 2003. Soil erosion study on hillside in Southern Jiangsu province the cesium-137 tracer technique. Soil Sci Plant Nutr 49: 85-92.

Maize (Zea mays, L.) response on Fertilization of Russian MOP in Inceptisols and Ultisols DEDI NURSYAMSI; . HUSNAIN; ANTONIUS KASNO; DIAH SETYORINI
Jurnal Tanah dan Iklim (Indonesian Soil and Climate Journal) No 23 (2005): Desember 2005
Publisher : Balai Besar Penelitian dan Pengembangan Sumberdaya Lahan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jti.v0n23.2005.%p

Indonesia’s agricultural lands commonly require fertilization of K to attain optimum plant yield. So far, most farmers use K fertilizer from KCl, apart to the fact that its effectiveness varies with soils and plants. It is expected that Russian MOP fertilizer is more effective and economically morebeneficial than KCl fertilizer. Field experiment aimed to test the effectiveness of Russian MOP for maize and was conducted in Inceptisols (of Cibatok-Bogor) and Ultisols (of Jagang-North Lampung) in dry season of 2004. The experiment applied Randomized Completely Block Design with 3 replicates, and maize of Lamuru variety was as plant indicator. The treatment consisted of 5 levels of Russian MOP fertilizer: 0, 25, 50, 100,and 200 kg ha-1 and one treatment of KCl fertilizer of 100 kg ha-1 as a reference. The result showed that the use of Russian MOP increased soil HCl-K and NH4OAc-K as well as dry matter and grain yield. RAE at Russian MOP level of > 100 kg ha-1 was 138 and 115 in Inceptisols of Cibatok and 314 in Ultisols of Jagang. The maximum profits using Russian MOP fertilizer in Inceptisols and Ultisols were Rp 4.4 and Rp 1.9 million ha-1 season-1, respectively, and were greater than those of using KCl fertilizer in both studied soils. IBCR values of the Russian MOP fertilizer were 2.44-10.37 (Inceptisols) and 0.69-3.41 (Ultisols) and were greater than those of KCl fertilizer. The requirements of Russian MOP fertilizer to achieve maximum profit were 119 and 105 kg ha-1 or equal to 71 and 63 kg K2O ha-1 for Inceptisols of Cibatok and Ultisols of Jagang, respectively. Considering its effectiveness and benefit, Russian MOP fertilizer can be used as alternative of K fertilization.

CO2 Emissions from Tropical Peat Soil Affected by Fertilization Husnain, .; Sipahutar, Ibrahim Adamy; Purnomo, Joko; Widyanto, Hery; Nurhayati, .
JOURNAL OF TROPICAL SOILS Vol. 22 No. 1: January 2017
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2017.v22i1.1-9

The conversion of peat soils to agricultural uses has been thought to increase CO2 emission due to several factors, including fertilization. However, evidence on the effect of fertilization on CO2emissionsfrompeat soils is rareand often inconsistence. We measured the effects of different types of fertilizer, including N, P and K sources, and clay as an ameliorant on CO2 emission from a bare peat soil in Lubuk Ogong, Riau Province. Nutrients were added in the following combinations: 0 (unfertilized plot), N source (urea), slow-release N (slow release urea), N and Psource (Urea+SP-36), N, P and K sources (urea+SP-36+KCl) and combined NPK-Clay. Fertilization resulted in a decreasein CO2 emissions compared to that prior to fertilization except when slow-release urea was applied. Decreasing of CO2 emissions was probably due to pH-related effects because the pH in the N treatment was lower than in both the control and the unfertilized plot. A decreasein the level of CO2 emissions among the treatments followed the order NPK-Clay>NP>NPK>urea>slow-release urea. Covariance analyses showed that the difference in CO2 emissions prior to treatment was not significant. The application of individual and combined treatments of N, P, K and NPK mixed with 5 Mg ha-1 clay led to significantly reduced CO2 emissions from bare peat soil in Lubuk Ogong, Riau Province. In addition to fertilization, the water table depth was the only parameter that significantly affected the CO2 emissions (P<0.05). We conclude that the application of nutrient combinations, including N, P, K and clay, could reduce CO2 emissions because these treatments maintain a balanced nutritional condition in the soil with respect to the microbial activity.Keywords: Amelioration, CO2 emission, fertilization, tropical peat soilsÂ Â Â

3D Agro-ecological Land Use Planning Using Surfer Tool for Sustainable Land Management in Sumani Watershed, West Sumatra Indonesia Aflizar, .; Idowu, Alarima Cornelius; Afrizal, Roni; Jamaluddin, .; Husnain, .; Masunaga, Tsugiyuki; Syafri, Edi; Muzakir, .
JOURNAL OF TROPICAL SOILS Vol. 18 No. 3: September 2013
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2013.v18i3.241-254

Estimation of soil erosion 3D (E3D) provides basic information that can help manage agricultural areas sustainably, which has not been sufficiently conducted in Indonesia. Sumani watershed is main rice production area in West Sumatra which has experienced environmental problem such as soil erosion and production problem in recent years. 3D Agro-ecological land use planning based on soil erosion 3D hazard and economic feasibility analyses consist of production cost and prize data for each crop. Using a kriging method in Surfer tool program, have been developed data base from topographic map, Landsat TM image, climatic data and soil psychochemical properties. Using these data, the Universal Soil Loss Equation was used for spatial map of soil erosion 3D and proposed a 3D agro-ecological land use planning for sustainable land management in Sumani watershed. A 3D Agro-ecological land use planning was planned under which the land use type would not cause more than tolerable soil erosion (TER) and would be economically feasible. The study revealed that the annual average soil erosion from Sumani watershed was approximately 76.70 Mg ha-1yr-1 in 2011 where more than 100 Mg ha-1yr-1 was found on the cultivated sloping lands at agricultural field, which constitutes large portion of soil erosion in the watershed. Modification of land use with high CP values to one with lower CP values such as erosion control practices by reforestation, combination of mixed garden+beef+chicken (MBC), terrace (TBC) or contour cropping+beef+chicken (CBC) and sawah+buffalo+chicken (SBC) could reduce soil erosion rate by 83.2%, from 76.70 to 12.9 Mg ha-1 yr-1, with an increase in total profit from agricultural production of about 9.2% in whole Sumani watershed.Key words: CP-values, Erosion 3D, land use, Surfer Tool, USLE [How to Cite: Aflizar, AC Idowu, R Afrizal, Jamaluddin, E Syafri, Muzakir, Husnain and T Masunaga. 2013. 3D Agro-ecological Land Use Planning Using Surfer Tool for Sustainable Land Management in Sumani Watershed, West Sumatra Indonesia. J Trop Soils 18 (3): 241-254. Doi: 10.5400/jts.2013.18.3.241][Permalink/DOI: www.dx.doi.org/10.5400/jts.2013.18.3.241]REEFERENCESAflizar, A Roni and T Masunaga. 2013. Assessment Erosion 3D hazard with USLE and Surfer Tool: A Case study of Sumani Watershed in West Sumatra Indonesia. J Trop Soil 18: 81-92 doi: 10.5400/jts.2012.18.1.81Aflizar, A Saidi, Husnain, Hermansah, Darmawan, Harmailis, H Soumura, T Wakatsuki and T Masunaga. 2010. Characterization of Soil Erosion Status in an Agricultural Watershed in West Sumatra, Indonesia. Tropics 19: 28-42.Agrell PJ, A Stam and GW Fischer. 2004. Interactive multiobjective agro-ecological land use planning: The Bungoma region in Kenya. Eur J Operat Res 158: 194-217Agus F, DK Cassel and DP Garrity. 1997. Soil-water and soil physical properties under countour hedgerow systems on sloping oxisols. Soil Till Res 40: 185-199.Blake GR and R Hartage. 1986. Bulk Density. In: A Klute (ed). Methods of Soil Analysis, Part 1. Physical and Minerological Methods. American Society of Agronomy and Soil Science Society of America, Madison, Wisconsin, p. 364-367. Brady NC and RR Weil. 2008. The Nature and Properties of Soils. Fourteenth edition reviced. Pearason International edition. Pearson education Japan. p. 121-171.Chris SR and H Harbor. 2002. Soil erosion assessment tools from point to regional scales-the role of geomorphologists in land management research and implication. Geomorphology 47: 189-209.Choudhury C, PM Chauhan, P Garg and HN Garg. 1996. Cost-Benefot ratio of triple pass solar air heates. Energy Convers Manage 37: 95-116. Crasswell ET, A Sajjapongse, DJB Hawlett and AJ Dowling. 1997. Agroforestry in the management of sloping lands in Asia and the Pacific. Agrofores Sys 38: 121-130.FAO [Food and Agriculture Organization]. 1993. Guidelines for Land Use Planning. FAO Development Series 1, FAO, Rome.FAO/IIASA [Food and Agriculture Organization/International Institute for Applied Systems Analysis]. 1991. Agro-Ecological Land Resources Assessment for Agricultural Development Planning; A Case Study of Kenya: Resource Database and Land Productivity. Main Report and 8 Technical Annexes. Rome, AGL-FAO. 9 vols. 1150 p. Gee GW and JW Bauder. 1986. Particle size analysis. In: A Klute (ed). Methods of soil Analysis, Part 1. Physical and mineralogical Methods, American Society of Agronomy and Soil Science Society of America, Madison, Wisconsin, pp. 399-404.Golden software. 2010. Surfer® 9 for windows. Golden, Colorado. Available online http://www.goldensoftware.com/products/surfer/surfer.shtml.Hammer WI. 1981. Second soil conservation consultant report AGOF/INS/78/006. Tech. Note No 10, Centre of Soil Research, Bogor.Irvem A, F Topaglu and V Uygur. 2007. Estimating spatial distribution of soil loss over Seyhan River Basin in Turkey. J Hydrol 336: 30-37.IITA [International Institute of Tropical Agriculture]. 1979. Selected Methods for Soils and Plant Analysis, Manual Series No. 1, IITA, Ibadan, Nigeria, pp. 70.Iwata T, S Nakano and M Inoue. 2003. Impact of past riparian deforestation on stream communities in a tropical rain forest in Borneo. Ecol Appl 13: 461-473.Karyono. 1990. Home garden in Java: their structure and function. In: Lan-dauer K, M Brazil (eds). Tropical Home Garden, The United Nations University Press, Tokyo, pp. 138-146.Kravchenko A and DG Bullock. 1999. A comparative study of interpolation method for mapping soil properties. Agron J 91: 393-400.Kusumandari A and BR Mitchell. 1997. Soil erosion and sediment yield in forest and agroforestry areas in West Java, Indonesia. J Soil Water Cons 52: 376-380.Lee BD, RC Graham, TE Lauren, C Amrhen and RM Creasy. 2001: Spatial Distribution of Soil Chemical condition in a serpentinitic Wetland and Surrounding Landscape. Soil Sci Soc Am J 65: 1183-1196.Margareth and Arens. 1989. World Bank Environmental Department Working paper No.18. The World Bank, Washington, DC.Paranginangin N, R Sakthivadivel, NR Scoot, E Kendy and TS Steenhuis. 2004. Water accounting for conjunctive groundwater/surface water management: case of the Singkarak-Ombilin River basin, Indonesia. J Hydrol 292: 1-22.Reeve RC. 1965. Particle-size Analysis. In: CA Black, DD Evans, JL White, Ensminger and FE Clark (eds). Methods of Soil Analysis Part 1. Physical and Mineralogical Methods, American Society of Agronomy, Madison, Wisconsin, pp. 528-530. Sarainsong F, K Harashima, H Arifin, K Gandasasmita and K Sakamoto. 2007. Practical application of a land resources information system for agricultural landscape planning. Landscpe Urban Plan 79: 38-52.Schob A, J Schmidt and R Tenholtern. 2006. Derivation of site-related measures to minimize soil erosion on the watershed scale in the Saxonian loess belt using the model erosion 3D. Catena 68: 153-160.Shi ZH, CF Cai, SW Ding, TW Wang and TL Chow. 2004. Soil conservation planning at the small watershed level using RUSLE with GIS: a case study in the Three Gorge Area of China. Catena 55: 33-48.Soil Survey Staff. 1990. Keys to Soil Taxonomy. Washington, DC: USDA Natural Resources Conservation Service. Available online ftp://ftp-fc.sc.egov.usda.gov/NSSC/Soil_Taxonomy/keys/1990_Keys_to_Soil_Taxonomy.pdf.Stevenson M and H Lee. 2001. Indicator of sustainability as a tool in agricultural development: portioning scientific and participatory processes. Int J Sustain Dev World Ecol 8: 57-56.Svoray T, P Bar and T Bannet. 2005. Urban land-use allocation in a Mediterranean ecotone: Habitat heterogeneity Model incorporated in a GIS using a multi-criteria mechanism. Landscape Urban Plan 72: 337-351.Takata Y, S Funukawa, J Yanai, A Mishima, K Akshalov, N Ishida and T Kosaki. 2008. Influence of crop rotation system on the spatial and temporal variation of the soil organic carbon budget in northern Kazakhstan. Soil Sci Plant Nutr, 54: 159-171.Wakatsuki T, Y Shinmura, E Otoo and GO Olaniyan. 1998. African-based paddy field system for the integrated watershed management of the small inland valley of West Africa. FAO Water Report no. 17. pp. 5-79.Wischmeier WH and DD Smith. 1978. Predicting rainfall erosion losses: a guide to conservation farming, USDA Handbook: No. 537 US Department of Agriculture, Washington, DC pp 1-58.World Bank. 1989. World Bank Technical Paper Number 127. In: Doolette JB and WB Magrath (eds). Watershed Development in Asia. Strategies and Technologies Available online: http://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/1999/09/17/000178830_98101904135527/Rendered/INDEX/multi_page.txt.Zhang Y, H Yang, M Du, X Tang, H Zhang and B Peng. 2003. Soil erosion study on hillside in Southern Jiangsu province the cesium-137 tracer technique. Soil Sci Plant Nutr 49: 85-92.

Characteristics of Tropical Drained Peatlands and CO2 Emission under Several Land Use Types Wigena, I Gusti Putu; Husnain, .; Susanti, Erni; Agus, Fahmuddin
JOURNAL OF TROPICAL SOILS Vol. 20 No. 1: January 2015
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2015.v20i1.47-57

Converting of tropical rain forest into plantation and agriculture land uses has been claimed as a main factor that affects to global warming and climate change. In order to provide a comprehensive information of the issue, a field observation on peat properties in relation to CO2 emission under several land use types had been done at Lubuk Ogong Village, Pelalawan District, Riau Province from May 2011-April 2012. Five land use types, namely A. mangium, bare land, oil palm, rubber, and secondary forest have been selected in the study site. Observations were made for chemical and physical properties, above and below ground C-stock and CO2 emissions. The results showed a higher variation of peat depth and a below ground C-stock was almost linearly with a peat depth. Below ground C-stock for each land use was around 2848.55 Mg ha-1, 2657.08 Mg ha-1 5949.85 Mg ha-1, 3374.69 Mg ha-1, 4104.87 Mg ha-1 for secondary forest, rubber, oil palm, bare land, and A. mangium, respectively. The highest above ground C-stock observed on a secondary forest was 131.5 Mg ha-1, followed by the four years A. mangium 48.4 Mg ha-1, the 1-2 years A. mangium 36.6 Mg ha-1, and the 4 years A. mangium 34.4 Mg ha-1. While, CO2 emissions in the study sites were 66.58±21.77 Mg ha-1yr-1, 66.17±25.54 Mg ha-1yr-1, 64.50±31.49 Mg ha-1yr-1, 59.55±18.30 Mg ha-1yr-1, 53.65±16.91 Mg ha-1yr-1 for bareland, oil palm, secondary forest, A. mangium, and rubber, respectively. [How to Cite: IG Putu Wigena, Husnain, E Susanti, and F Agus. 2015. Characteristics of Tropical Drained Peatlands and CO2 Emission under Several Land Use Types. J Trop Soils 19: 47-57. Doi: 10.5400/jts.2015.20.1.47][Permalink/DOI: www.dx.doi.org/10.5400/jts.2015.20.1.47]

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